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parallel-cli

Orchestrate Parallel CLI workflows for web search and JSON output.

Updated Apr 1, 2026
Search Tags:#asynchronous#web-search#enrichment#data-extraction#deep-research#findall#parallel-cli
One-click install
npx skills add https://github.com/founderphantom/zola-agent --skill parallel-cli-founderphantom
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-cli
Source: https://github.com/founderphantom/zola-agent/tree/main/optional-skills/research/parallel-cli
Command: npx skills add https://github.com/founderphantom/zola-agent --skill parallel-cli-founderphantom

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hermes agents need a vendor-specific workflow to perform web search, extraction, deep research, enrichment, FindAll, and monitoring with consistent JSON outputs and non-interactive execution.

Core Features & Use Cases

  • Web search and data extraction using the Parallel CLI with machine-readable JSON output
  • Async, long-running research tasks with status polling and context chaining
  • Enrichment, entity discovery (FindAll), and continuous monitoring workflows

Quick Start

Install and configure Parallel CLI, then run a simple search to retrieve structured JSON results.

Frequently Asked Questions about parallel-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run asynchronous web research tasks and get structured JSON output?▼

Asynchronous web research tasks with structured JSON output are executed by orchestrating Parallel CLI workflows, enabling long-running data extraction with context chaining and status polling. This approach provides machine-readable results suitable for automated pipelines.

What is the best way to enrich data and discover entities in non-interactive workflows?▼

Data enrichment and entity discovery in non-interactive workflows are handled through the FindAll feature and continuous monitoring capabilities. This allows agents to automatically locate and enrich entities while producing consistent JSON outputs without manual intervention.

How does context chaining work for long-running web search and extraction processes?▼

Context chaining for long-running web search processes works by maintaining state across asynchronous operations via status polling. This allows sequential extraction steps to build upon previous results, ensuring structured data continuity throughout the research workflow.

Do I need vendor authentication to perform deep research and data extraction?▼

Vendor authentication is required to perform deep research and data extraction, along with proper API access and adherence to the vendor's usage terms. This ensures secure execution of structured search and monitoring workflows.

Can I use continuous monitoring for web search and data extraction in automated pipelines?▼

Continuous monitoring for web search and data extraction is supported for automated pipelines through non-interactive execution. It delivers machine-readable JSON outputs and utilizes status polling to track long-running asynchronous research tasks.

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